In the field of environmental modeling and microclimatic simulations, #envimet acts as a #pioneer, democratizing #climate#simulations for everyone. What sets it apart? Its unique capability to conduct high-resolution modeling without relying on #supercomputers.
Traditionally, achieving high-resolution modeling of urban microclimates demanded significant resources, often necessitating access to supercomputing facilities. This was due to the complex interactions between #buildings, #vegetation, and the #atmosphere at a fine scale. However, ENVI-met has transformed this paradigm by combining advanced #softwarearchitecture, self-learning processes, and highly efficient #algorithms. This powerful combination empowers users to develop detailed and precise microclimatic simulations using standard hardware. This democratization of high-resolution modeling carries profound implications: it empowers professionals and researchers to explore urban microclimates in greater depth, facilitating evidence-based decision-making in urban planning, architecture, and landscape design. Moreover, it sparks innovation in sustainable solutions, leading to more comfortable and environmentally friendly urban environments.
Our mission is clear: to reshape the landscape of environmental modeling, making it accessible to a broader audience and contributing to a more sustainable and informed future for urban development. Be part of it!
This is why I beleive we’re all better off with conscience that is not about stopping bad things, but pouncing on chances to do good things. Let’s not miss the heart behind ENVImet, as posted, again, today.
I hope more people tap their own courage to try to realize how accessible ENVImet can be, and to feel encouraged by how rigorously some work to improve that accessibility, constantly.
I feel hope is far more realistic with ENVImet modeling.
It’s been proven in other realms that modeling can SERVE reality well: it’s practically legendary how Kerbal (a space physics modeling game) was credited by Elon Musk and even NASA JPL for putting a fire under their innovation. Gran Turismo is now both a movie and a game about the surprising serviceability of modeling in racing. In both realms, the human engagement with nature and physics are as real and unforgiving and transparent to performance.
Envi-met is no game, but I sure would be inspired to see who else can own and engage ENVImet in combatting misaligned thermal energy that hurts both our planet and our most vulnerable people. (and a few other things including air quality!)
Human thermal comfort (and so, human health, resilience and justice) is, at its core, inherently (when in its rigorous definition, incorporating human-centric metrics such as those defined in ASHRAE Standard 55, plus other standards) Human Thermal Comfort must be a first-person experience game. (The biomet experience tool still amazes me.)
ENVImet captures this, and also is constantly rolling out the red carpet.
So raises hopes more players will get into the game that matters to humans, critical to us not just surviving our human-centric thermal energy (and air quality) realities, but flourishing. Especially with whatever went bump in the atmosphere lately.
Humanity has historically proven ingenuity finding myriad alternate ways to craft thermal homeostasis, health and shelter. As opposed to where we can feel discouraged how, for practically every tier of society, all our conventional shelter most often gets dispensed as a byproduct of commercial commodification of land. In our race to produce more housing, fast, we can’t afford NOT to do more such modeling, for both existing and new construction.
Just a peek into ENVImet proves there DO exist REAL paths to actually aligning, designing and crafting actual IRL (in REAL life) healthy human shelter:
Thank you for the invitation and the red carpet, again, Daniela Bruse
Co-Founder & Managing Director @ ENVI-met GmbH | Leading 3D urban modeling for sustainable development and improved quality of life
In the field of environmental modeling and microclimatic simulations, #envimet acts as a #pioneer, democratizing #climate#simulations for everyone. What sets it apart? Its unique capability to conduct high-resolution modeling without relying on #supercomputers.
Traditionally, achieving high-resolution modeling of urban microclimates demanded significant resources, often necessitating access to supercomputing facilities. This was due to the complex interactions between #buildings, #vegetation, and the #atmosphere at a fine scale. However, ENVI-met has transformed this paradigm by combining advanced #softwarearchitecture, self-learning processes, and highly efficient #algorithms. This powerful combination empowers users to develop detailed and precise microclimatic simulations using standard hardware. This democratization of high-resolution modeling carries profound implications: it empowers professionals and researchers to explore urban microclimates in greater depth, facilitating evidence-based decision-making in urban planning, architecture, and landscape design. Moreover, it sparks innovation in sustainable solutions, leading to more comfortable and environmentally friendly urban environments.
Our mission is clear: to reshape the landscape of environmental modeling, making it accessible to a broader audience and contributing to a more sustainable and informed future for urban development. Be part of it!
In the field of environmental modeling and microclimatic simulations, ENVI-met stands out as a #pioneer, enabling climate simulations for all. What sets it apart? The capacity to conduct high-resolution modeling without the reliance on #supercomputers.
Traditionally, performing high-resolution modeling of urban microclimates has been resource-intensive, often requiring access to supercomputing facilities due to the complexity of interactions between buildings, vegetation, and the atmosphere at a fine scale. However, ENVI-met has redefined this approach by combining advanced software architecture, self-learning processes, and highly efficient algorithms. This synergy empowers users to create detailed and precise microclimatic simulations using standard hardware, eliminating the need for supercomputing resources.
This democratization of high-resolution modeling has far-reaching implications. It empowers professionals and researchers to gain deeper insights into urban microclimates, facilitating evidence-based decision-making in urban planning, architecture, and landscape design. It fosters innovation in sustainable solutions, leading to more comfortable and environmentally friendly urban spaces.
ENVI-met's ability to perform high-resolution modeling without requiring supercomputers is a testament to its commitment to advancing environmental science and urban planning. By making advanced simulations accessible to a broader audience, ENVI-met is shaping a more sustainable and informed future for urban development.
#envimet#supercomputers#urbanplanning#architecture#climatechange#softwarearchitecture#simulations#microclimate
A future planet is one in which 70% of the global population will live in densely packed cities. Global megatrends including urbanization and extreme climate change will place unprecedented demands on our buildings, cities, and infrastructure.
At our 2022 'Simulate & Adapt Cities for Climate Resilience: A World Cities Day Event', we heard from global experts on the latest research and thinking around resilient cities. We explored recent advances in microclimate simulation, lessons learned from city-scale modeling, and how integrating an ecosystem of design tools on energy, comfort, GIS, and carbon can give designers an advantage in combating the catastrophic consequences of climate change.
🖥️ Access the on-demand replay: https://hubs.la/Q023nvd90
1️⃣ Cities at Risk: Adapting to a Changing Climate - Learn about environmental and climate factors that are adversely impacting our cities and how architects, engineers, and technology companies are driving research and innovation for a sustainable future.
2️⃣ Industry Success Stories: Leading the Way - Discover how global design firms are leveraging simulation in the cloud, from applying microclimate simulation to entire cities to developing a new generation of environmental design tools.
3️⃣ Panel Session - Panel members discussed how architects and engineers can design cities while best adapting to climate change.
#Act4Urban#sustainability#urbandesign#sustainabledesign#architecture#construction
New Paper on Builing Facade Material Detection 🌎
We are happy to share our latest paper, which addresses the building material data deficiency at the city scale. We introduce a method that utilizes street view imagery to facilitate the documentation of materials on building facades, a critical step in enabling their repair, reuse, or recycling.
Here are some of the key highlights from our research:
✅ Developed a fine-tuned image classification model that leverages GIS and street view imagery, requiring just a few hundred annotated samples.
✅ Achieved impressive accuracy with macro-averaged F1 scores of 0.91 in Tokyo, 0.91 in NYC, 0.96 in Zurich, and 0.93 in the combined dataset, showcasing the method's robustness across diverse architectural facades.
✅ Utilization of open-access and non-proprietary data, enabling a scalable approach that can gradually expand to a global level.
✅ Introduction of the Urban Resource Cadastre Repository (URCR): a publicly available, "in the wild" dataset to fuel future advancements in automatic building material detection.
Read the full paper here: https://lnkd.in/ePR6YX8VDeepika RaghuMartin Juan José BucherCatherine De WolfResources, Conservation & Recycling#SustainableUrbanDevelopment#ClimateCrisis#ComputerVision#BuildingMaterials#CircularEconomy#Digitalization
Feel free to connect and share your thoughts and insights!
Perceiving and assessing outdoor thermal comfort is complex and can pose a challenge due to the multitude of parameters that affect and contribute to it. I along with Aishwarya Arun, Aleyna Gültekin and Diego V. worked on ThermoVision - This predictive ML tool assesses a correlation between thermal comfort in urban landscapes and our visual perception.
Our methodology involved segmenting 360-degree street view images and extracting relevant features. These features were then used to train and test a Random Forest Regression Model, enabling us to predict thermal comfort in different streets of Barcelona.
The project was developed at Institute for Advanced Architecture of Catalonia as part of seminar 'AI in the built environment' , Led by Angelos Chronis and Serjoscha Düring. If you're curious about our outcome and methodology, here is the link to our project blog https://lnkd.in/dMJ_qYNm#MachineLearning#OutdoorThermalComfort#AIinArchitecture#data#semanticsegmentation#urbananalysis#iaac
Computational Designer | Grasshopper Plug-in Developer | Master of Advanced Architecture, IAAC | IGBC AP
🌍 ThermoVision: A Machine Learning Approach for Assessing Thermal Comfort in Urban Landscapes 🌆🌡️
ThermoVision is a predictive tool that leverages machine learning to gauge thermal comfort in urban landscapes. Urban areas often struggle with uneven thermal comfort due to varied building topologies , building materials and vegetation and understanding these thermal landscapes is challenging due to their complexity. ThermoVision bridges the gap between visual data and thermal comfort, allowing users to understand the impact of the built environment on these thermal landscapes. Through the use of SegFormer, a transformer-based model for semantic segmentation, features of the built environment are extracted from 360 degree street level images, the Random Forest Regression Model, is trained and tested to predict thermal comfort in different locations.
This project was developed by Vasudha Karnani, Aleyna Gültekin, Diego V. and I, for the #AIinthebuiltenvironment course at Institute for Advanced Architecture of Catalonia led and mentored by Angelos Chronis and Serjoscha Düring. #data#environment#machinelearning#thermalcomfort#semanticsegmentation#urbananalysis